diff --git a/anthroposouth_visuals_version_2.ipynb b/anthroposouth_visuals_version_2.ipynb
index eed30e0..5aadfb0 100644
--- a/anthroposouth_visuals_version_2.ipynb
+++ b/anthroposouth_visuals_version_2.ipynb
@@ -127,7 +127,7 @@
    "outputs": [],
    "source": [
     "# load data, set index\n",
-    "selected = pd.read_csv(\"final_sources/1-laselected.csv\")\n",
+    "selected = pd.read_csv(\"version_2/input/1-laselected.csv\")\n",
     "selected.set_index(\"Year\", inplace=True)"
    ]
   },
@@ -363,13 +363,112 @@
     "Label have been shifted to visualy mark this imprecision. Conveying a sense of temporal blur, it underlines the function of these visual representations: these are not precise analytical tools, but allow the reader to perceive historical trends in the data."
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "6be6896b-fd0a-4ad9-8b39-d89dfbacec40",
+   "metadata": {},
+   "source": [
+    "# 5 - Energy balance"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "eac58e10-4305-4175-b01c-3744a319e014",
+   "id": "8b157268-bb09-4cd9-98b1-d0f91a790430",
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "# load data, set index, and workout total production in given unit\n",
+    "balance = pd.read_csv(\"version_2/input/5-energybalance.csv\")\n",
+    "balance.set_index(\"Year\", inplace=True)\n",
+    "balance['Total'] = balance.sum(axis=1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4ae87e36-3268-4c74-acb6-8abd27cc9724",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# workout percentages in their columns\n",
+    "for column in balance:\n",
+    "    balance[column + \"_percent\"] = balance[column] / balance.Total"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a825f3fe-ec3d-4ec4-b227-e38cd027f1c2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# custom palette matches the biomass one\n",
+    "paletto = [\n",
+    "    \"#ededed\",\n",
+    "    \"#d1d1d1\",\n",
+    "    \"#adadad\",\n",
+    "    \"#828282\",\n",
+    "    \"#5c5c5c\"\n",
+    "]\n",
+    "\n",
+    "# same settings as before\n",
+    "fig, ax = plt.subplots(figsize = (17,8))\n",
+    "ax.set_facecolor('#fdfdfd')\n",
+    "\n",
+    "# actual plot\n",
+    "ax.stackplot(\n",
+    "    balance.index,\n",
+    "    balance.Renewables_percent,\n",
+    "    balance[\"Nuclear consumption - TWh_percent\"],\n",
+    "    balance[\"Gas consumption - TWh_percent\"],\n",
+    "    balance[\"Coal consumption - TWh_percent\"],\n",
+    "    balance[\"Oil consumption - TWh_percent\"],\n",
+    "    colors = paletto[::-1]\n",
+    ")\n",
+    "\n",
+    "# custom x axis labels because data starts earlier\n",
+    "start = np.array([1965])\n",
+    "middle = np.arange(1970, 2019, 10)\n",
+    "end = np.array([2020])\n",
+    "ticks_array = np.concatenate((start, middle, end), axis=0)\n",
+    "plt.xticks(ticks_array)\n",
+    "ax.get_yaxis().set_ticks([])\n",
+    "ax.tick_params(length=4, color=\"white\")\n",
+    "ax.tick_params(rotation=35)\n",
+    "plt.xticks(ha='left')\n",
+    "\n",
+    "# same clean look\n",
+    "ax.spines['top'].set_visible(False)\n",
+    "ax.spines['right'].set_visible(False)\n",
+    "ax.spines['bottom'].set_visible(False)\n",
+    "ax.spines['left'].set_visible(False)\n",
+    "ax.set_ymargin(0.005)\n",
+    "ax.set_xmargin(0)\n",
+    "\n",
+    "# legend\n",
+    "labels_legend = [\n",
+    " 'Coal',\n",
+    " 'Oil',\n",
+    " 'Natural gas',\n",
+    " 'Electricity',\n",
+    " 'Biomass'\n",
+    "]\n",
+    "ax.legend(labels=labels_legend, loc='right', bbox_to_anchor=(0.558, 0.5, 0.55, 0.832), edgecolor=\"white\", reverse=True)\n",
+    "\n",
+    "# output to file\n",
+    "plt.savefig(\"version_2/output/5_balance.png\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "40b58100-f567-4468-826a-c7826a8f4e17",
+   "metadata": {},
+   "source": [
+    "__Note regarding input data pre-processing__\n",
+    "\n",
+    "All datasets have been manually collected, curated, corrected for formatting error, converted to csv with appropriate headers and verified."
+   ]
   }
  ],
  "metadata": {